I built a "Traffic Light" system for AI Agents so they don't corrupt each other (Open Source)

February 15, 2026

Here's something that caught my attention — an indie developer, /u/jovansstupidaccount, built a clever 'Traffic Light' system for AI agents to prevent chaos. Imagine multiple AI tools trying to access the same data — without rules, it’s a free-for-all. According to him, these agents end up overwriting each other's work or executing tasks out of order, which is a nightmare. So, he created Network-AI, an open-source protocol that acts like real traffic signals for AI — checking credentials and environment before letting an agent act. Think of it as a traffic officer making sure everything runs smoothly, with a camera recording every move for debugging. ((slower)) The goal? Keep shared environments safe and predictable. And get this — Jovansstupidaccount isn’t selling anything; he just wants feedback. So, if you’re working with multi-agent systems, it’s worth checking out his repo and seeing if this traffic control idea fits your project. ((upbeat)) It’s a simple yet smart way to avoid chaos in AI collaboration.

Hey everyone,

I’m a backend developer with a background in fintech. Lately, I’ve been experimenting with multi-agent systems, and one major issue I kept running into was collision.

When you have multiple agents (or even one agent doing complex tasks) accessing the same files, APIs, or context, they tend to "step on each other's toes." They overwrite data, execute out of order, or hallucinate permissions they shouldn't have. It’s a mess.

I realized what was missing was a Traffic Light.

So I built Network-AI. It’s an open-source protocol that acts as a traffic control system for agent orchestration.

How it works: Think of it like an intersection. Before an agent can execute a high-stakes tool (like writing to a database, moving a file, or sending a transaction), it hits a "Red Light."

The Check: The protocol (specifically a module I call AuthGuardian) checks the agent’s credentials and the current state of the environment.
The Green Light: Only if the "road is clear" (permissions are verified and no conflicts exist) does the agent get the green light to proceed.
The Camera: Just like a traffic camera, there is an immutable audit trail of every green light given, so you can debug crashes later.

Why I’m posting: I’m not selling anything. I just want to solve the problem of agents corrupting shared environments.

I’d love for you to check out the repo and tell me if this "Traffic Light" architecture makes sense for your use cases, or if I’m over-engineering it.

Repo:https://github.com/jovanSAPFIONEER/Network-AI all feedback is welcome

submitted by /u/jovansstupidaccount
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